社交机器人触发:网络对话中机器人的交际拟人化

Q1 Social Sciences
Salla-Maaria Laaksonen, Kai Laitinen, Minna Koivula, Tanja Sihvonen
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引用次数: 0

摘要

本文研究了交际拟人化,即在人与机器人之间的交流中,社交机器人的类人特征的分配。本文立足于人机通信领域,探讨了社交机器人是如何被设计成拟人化的通信伙伴的,并探讨了人类用户通过通信将机器人拟人化的方式。通过对社交媒体上机器人与人类互动的两个数据集的分析,我们发现机器人通过直接寻址、分配代理、将人类与机器人进行比较以及将情感和观点分配给机器人,在通信上被拟人化。我们认为,社会角色天生就具有拟人化的特征和可供性,但它们的拟人化是由人类通过交流来完成和实现的。我们把这个过程概念化为交际拟人化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Triggered by Socialbots: Communicative Anthropomorphization of Bots in Online Conversations
This article examines communicative anthropomorphization, that is, assigning of humanlike features, of socialbots in communication between humans and bots. Situated in the field of human-machine communication, the article asks how socialbots are devised as anthropomorphized communication companions and explores the ways in which human users anthropomorphize bots through communication. Through an analysis of two datasets of bots interacting with humans on social media, we find that bots are communicatively anthropomorphized by directly addressing them, assigning agency to them, drawing parallels between humans and bots, and assigning emotions and opinions to bots. We suggest that socialbots inherently have anthropomorphized characteristics and affordances, but their anthropomorphization is completed and actualized by humans through communication. We conceptualize this process as communicative anthropomorphization.
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来源期刊
CiteScore
10.00
自引率
0.00%
发文量
10
审稿时长
8 weeks
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